Global Payments

ai engineer in payments

In short

Senior AI Engineer role at a payments technology company, building and deploying ML/AI and foundation models, agentic AI workflows, and LLM-based solutions for real-world applications in an office in London. Requires 5+ years of experience in AI/ML/Data Science, strong Python and deep learning framework skills (PyTorch, TensorFlow, Hugging Face), and experience deploying AI on major cloud platforms. Demands strong knowledge of LLM architectures, RAG, embeddings, vector databases, and orchestration frameworks like LangChain.

Описание
Global Payments provides payment services and technology solutions.
Задачи
•Assess, design, build, optimize, and deploy ML/AI and foundation models for real-world applications
•Research and evaluate emerging AI technologies and models, prototype new AI capabilities, and run proof-of-concepts
•Collaborate with business and technology teams to identify high-value use cases
•Drive innovation through experimentation, knowledge sharing, and continuous learning
•Help define best practices, technical standards, and reusable patterns for AI development across the organization
•Develop agentic AI workflows using orchestration frameworks such as LangChain or similar
•Develop and maintain AI system blueprints, integrate them with existing infrastructure, and optimize performance and scalability
•Embed compliance, observability, and scalability in design decisions
•Drive best practices for AI model deployment, monitoring, and continual improvement
•Ensure AI solutions comply with organizational security, ethical guidelines, and regulatory standards
•Collaborate with engineering, product, and business teams to identify and deliver high-impact AI opportunities
•Stay up to date with advancements in AI, foundation models, and autonomous agents
Требования
•5+ Years of experience in AI, Machine Learning, Data Science, or related fields
•Strong Python skills and experience with PyTorch, TensorFlow, and Hugging Face
•Experience taking AI proof-of-concepts from idea to production
•Strong knowledge of deep learning, NLP, and LLM architectures
•Experience fine-tuning LLMs or training domain-specific models, and with RAG, embeddings, and vector databases
•Familiarity with agentic AI concepts and orchestration frameworks
•Experience deploying AI solutions on Azure, AWS, or GCP
•Strong problem-solving skills and a passion for innovation
•Excellent communication and collaboration skills
•A curious, hands-on mindset and a desire to experiment, learn, and build
Nice to have: Experience with multimodal AI, AI governance, or MLOps; an advanced degree in AI, Computer Science, Data Science, or related disciplines; AI/ML research, publications, patents, or open-source contributions; knowledge of payments, fintech, or financial services.
Условия
No conditions specified

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